Browse by Basel Contributors ID

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Büchner, Clemens and Christen, Remo and Corrêa, Augusto B. and Eriksson, Salomé and Ferber, Patrick and Seipp, Jendrik and Sievers, Silvan. (2023) Fast Downward Stone Soup 2023.

Ferber, Patrick and Seipp, Jendrik. (2022) Explainable Planner Selection for Classical Planning. In: The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). pp. 9741-9749.

Steinmetz, Marcel and Fišer, Daniel and Enişer, Hasan Ferit and Ferber, Patrick and Gros, Timo and Heim, Philippe and Höller, Daniel and Schuler, Xandra and Wüstholz, Valentin and Christakis, Maria and Hoffmann, Jörg. (2022) Debugging a Policy: Automatic Action-Policy Testing in AI Planning. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS2022). pp. 353-361.

Ferber, Patrick and Geißer, Florian and Trevizan, Felipe and Helmert, Malte and Hoffmann, Jörg. (2022) Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022). pp. 583-587.

Heller, Daniel and Ferber, Patrick and Bitterwolf, Julian and Hein, Matthias and Hoffmann, Jörg. (2022) Neural Network Heuristic Functions: Taking Confidence into Account. In: Proceedings of the Fifteenth International Symposium on Combinatorial Search (SoCS2022). pp. 223-228.

Ferber, Patrick and Cohen, Liat and Seipp, Jendrik and Keller, Thomas. (2022) Learning and Exploiting Progress States in Greedy Best-First Search. In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. pp. 4740-4746.

Ferber, Patrick and Geißer, Florian and Trevizan, Felipe and Helmert, Malte and Hoffmann, Jörg. (2021) Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods. PRL Workshop – Bridging the Gap Between AI Planning and Reinforcement Learning.

Ma, Tengfei and Ferber, Patrick and Huo, Siyu and Chen, Jie and Katz, Michael. (2020) Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 34. pp. 5077-5084.

Ferber, Patrick and Helmert, Malte and Hoffmann, Jörg. (2020) Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. In: 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, 325. pp. 2346-2353.

Ferber, Patrick. (2020) Simplified Planner Selection. Proceedings of the 12th Workshop on Heuristics and Search for Domain-independent Planning (HSDIP). pp. 102-110.

Ferber, Patrick and Helmert, Malte and Hoffmann, Jörg. (2020) Reinforcement Learning for Planning Heuristics. Proceedings of the 1st Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL). pp. 119-126.

Ferber, Patrick and Seipp, Jendrik. (2020) Explainable Planner Selection. In Proceedings of the International Workshop of Explainable AI Planning (XAIP).

Sievers, Silvan and Katz, Michael and Sohrabi, Shirin and Samulowitz, Horst and Ferber, Patrick. (2019) Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 33. pp. 7715-7723.

Ferber, Patrick and Ma, Tengfei and Huo, Siyu and Chen, Jie and Katz, Michael. (2019) IPC: A Benchmark Data Set for Learning with Graph-Structured Data. Proceedings in the ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Representations.